Substitution models and their design.
Models for variation in evolutionary speed.
The tree reconsiliation and models of duplication and loss of genes.
Inference methods such as ML and MCMC.
Inference tools such as MrBayes and RevBayes.
FDD3009 Computational Topics in Phylogeny Inference 6.0 credits
Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus FDD3009 (Autumn 2013–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
The general aim is to give basic knowledge of modelling of evolution.
After completed course, you should be able to
- be familiar with important evolutionary models of substitutions duplications/losses, intensity changes etc.
- apply these models on real data using popular tools
- understand inference methods that are used for phylogenetic problems
- adapt known models to new problems
Literature and preparations
Specific prerequisites
No information inserted
Recommended prerequisites
No information inserted
Equipment
No information inserted
Literature
Artiklar
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
P, F
Examination
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Opportunity to complete the requirements via supplementary examination
No information inserted
Opportunity to raise an approved grade via renewed examination
No information inserted
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Main field of study
This course does not belong to any Main field of study.
Education cycle
Third cycle
Add-on studies
No information inserted
Contact
Lars Arvestad